CS 598 CSC - Algorithms for Big Data

Fall 2014

Algorithms for Big DataCS598CSC63589S141400 - 1515 T R  1109 Siebel Center for Comp Sci Chandra Sekhar Chekuri

Official Description

Subject offerings of new and developing areas of knowledge in computer science intended to augment the existing curriculum. See Class Schedule or departmental course information for topics and prerequisites. Course Information: May be repeated in the same or separate terms if topics vary.

Section Description

Title: Algorithms for Big Data This course will describe some algorithmic techniques developed for handling large amounts of data that is often available in limited ways. Topics that will be covered include data stream algorithms, sampling and sketching techniques, and sparsification, with applications to signals, matrices, and graphs. Emphasis will be on the theoretical aspects of the design and analysis of such algorithms. Prerequisites: CS 573, good background in (discrete) probability